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Astral 7B 1.0Epoch Instruct V0.06 by jin05102518

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  3852   
  Autotrain compatible   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us

Astral 7B 1.0Epoch Instruct V0.06 Benchmarks

LLME Score: 0.18878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Astral 7B 1.0Epoch Instruct V0.06 Parameters and Internals

LLM NameAstral 7B 1.0Epoch Instruct V0.06
Repository 🤗https://huggingface.co/jin05102518/Astral-7B-1.0Epoch-Instruct-v0.06 
Model Size7b
Required VRAM14.5 GB
Updated2024-10-07
Maintainerjin05102518
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Astral 7B 1.0Epoch Instruct V0.06 (jin05102518/Astral-7B-1.0Epoch-Instruct-v0.06)

Best Alternatives to Astral 7B 1.0Epoch Instruct V0.06

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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB12276
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... Summarize 64K QLoRANET Merged128K / 4.1 GB210
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB9528792541
Mistral 7B Instruct V0.132K / 14.4 GB1999031508
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB29973
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB475311
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB28212
Mistral 7B Instruct RRHF32K / 14.4 GB6240
Note: green Score (e.g. "73.2") means that the model is better than jin05102518/Astral-7B-1.0Epoch-Instruct-v0.06.

Rank the Astral 7B 1.0Epoch Instruct V0.06 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072803
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